Instructions to use bertin-project/bertin-base-stepwise-exp-512seqlen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bertin-project/bertin-base-stepwise-exp-512seqlen with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="bertin-project/bertin-base-stepwise-exp-512seqlen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen") model = AutoModelForMaskedLM.from_pretrained("bertin-project/bertin-base-stepwise-exp-512seqlen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from bertin-project/bertin-base-stepwise-exp-512seqlen: direct link, hf CLI and curl.
- Browser
- Download file 250 MB
-
https://huggingface.co/bertin-project/bertin-base-stepwise-exp-512seqlen/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://bertin-project/bertin-base-stepwise-exp-512seqlen/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/bertin-project/bertin-base-stepwise-exp-512seqlen/resolve/main/flax_model.msgpack
250 MB
- Xet hash:
- d1206786cd38010feb4391a1d8ca11ca5b3b103a814b7302935250ef66cd342d
- Size of remote file:
- 250 MB
- SHA256:
- 3a80ec619ededfbd4e9b69ec8ed53e4716447f0d49f33d7c1dd0c8933a415b92
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